{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 2: Sensitivity analysis on a NetLogo model with SALib\n",
    "\n",
    "This notebook provides a more advanced example of interaction between NetLogo and a Python environment, using the SALib library (Herman & Usher, 2017; available through the pip package manager) to sample and analyze a suitable experimental design for a Sobol global sensitivity analysis. All files used in the example are available from the pyNetLogo repository at https://github.com/quaquel/pyNetLogo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Ensuring compliance of code with both python2 and python3\n",
    "\n",
    "from __future__ import division, print_function\n",
    "try:\n",
    "    from itertools import izip as zip\n",
    "except ImportError: # will be 3.x series\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import pyNetLogo\n",
    "\n",
    "#Import the sampling and analysis modules for a Sobol variance-based sensitivity analysis\n",
    "from SALib.sample import saltelli\n",
    "from SALib.analyze import sobol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SALib relies on a problem definition dictionary which contains the number of input parameters to sample, their names (which should here correspond to a NetLogo global variable), and the sampling bounds. Documentation for SALib can be found at https://salib.readthedocs.io/en/latest/."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "problem = { \n",
    "  'num_vars': 6,\n",
    "  'names': ['random-seed',\n",
    "            'grass-regrowth-time',\n",
    "            'sheep-gain-from-food',\n",
    "            'wolf-gain-from-food',\n",
    "            'sheep-reproduce',\n",
    "            'wolf-reproduce'], \n",
    "  'bounds': [[1, 100000],\n",
    "             [20., 40.], \n",
    "             [2., 8.], \n",
    "             [16., 32.],\n",
    "             [2., 8.],\n",
    "             [2., 8.]]\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start by instantiating the wolf-sheep predation example model, specifying the _gui=False_ flag to run in headless mode."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "netlogo = pyNetLogo.NetLogoLink(gui=False)\n",
    "netlogo.load_model('./models/Wolf Sheep Predation_v6.nlogo')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The SALib sampler will automatically generate an appropriate number of samples for Sobol analysis. To calculate first-order, second-order and total sensitivity indices, this gives a sample size of _n*(2p+2)_, where _p_ is the number of input parameters, and _n_ is a baseline sample size which should be large enough to stabilize the estimation of the indices. For this example, we use _n_ = 1000, for a total of 14000 experiments.\n",
    "\n",
    "For more complex analyses, parallelizing the experiments can significantly improve performance. An additional notebook in the pyNetLogo repository demonstrates the use of the ipyparallel library; parallel processing for NetLogo models is also supported by the Exploratory Modeling Workbench (Kwakkel, 2017)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "n = 1000\n",
    "param_values = saltelli.sample(problem, n, calc_second_order=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The sampler generates an input array of shape (_n*(2p+2)_, _p_) with rows for each experiment and columns for each input parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14000, 6)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "param_values.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assuming we are interested in the mean number of sheep and wolf agents over a timeframe of 100 ticks, we first create an empty dataframe to store the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "results = pd.DataFrame(columns=['Avg. sheep', 'Avg. wolves'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then simulate the model over the 14000 experiments, reading input parameters from the param_values array generated by SALib. The repeat_report command is used to track the outcomes of interest over time. \n",
    "\n",
    "To later compare performance with the ipyparallel implementation of the analysis, we also keep track of the elapsed runtime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "t0=time.time()\n",
    "\n",
    "for run in range(param_values.shape[0]):\n",
    "    \n",
    "    #Set the input parameters\n",
    "    for i, name in enumerate(problem['names']):\n",
    "        if name == 'random-seed':\n",
    "            #The NetLogo random seed requires a different syntax\n",
    "            netlogo.command('random-seed {}'.format(param_values[run,i]))\n",
    "        else:\n",
    "            #Otherwise, assume the input parameters are global variables\n",
    "            netlogo.command('set {0} {1}'.format(name, param_values[run,i]))\n",
    "            \n",
    "    netlogo.command('setup')\n",
    "    #Run for 100 ticks and return the number of sheep and wolf agents at each time step\n",
    "    counts = netlogo.repeat_report(['count sheep','count wolves'], 100)\n",
    "    \n",
    "    #For each run, save the mean value of the agent counts over time\n",
    "    results.loc[run, 'Avg. sheep'] = counts['count sheep'].values.mean()\n",
    "    results.loc[run, 'Avg. wolves'] = counts['count wolves'].values.mean()\n",
    "    \n",
    "elapsed=time.time()-t0 #Elapsed runtime in seconds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1409.213308095932"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "elapsed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The \"to_csv\" dataframe method provides a simple way of saving the results to disk.\n",
    "\n",
    "Pandas supports several more advanced storage options, such as serialization with msgpack, or hierarchical HDF5 storage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "results.to_csv('Sobol_sequential.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "results = pd.read_csv('Sobol_sequential.csv', header=0, index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Avg. sheep</th>\n",
       "      <th>Avg. wolves</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>125.25</td>\n",
       "      <td>91.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>136.85</td>\n",
       "      <td>110.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>125.98</td>\n",
       "      <td>84.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>136.46</td>\n",
       "      <td>106.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>284.34</td>\n",
       "      <td>55.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Avg. sheep  Avg. wolves\n",
       "0      125.25        91.52\n",
       "1      136.85       110.37\n",
       "2      125.98        84.50\n",
       "3      136.46       106.76\n",
       "4      284.34        55.39"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then proceed with the analysis, first using a histogram to visualize output distributions for each outcome:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "sns.set_context('talk')\n",
    "fig, ax = plt.subplots(1,len(results.columns), sharey=True)\n",
    "\n",
    "for i, n in enumerate(results.columns):\n",
    "    ax[i].hist(results[n], 20)\n",
    "    ax[i].set_xlabel(n)\n",
    "\n",
    "ax[0].set_ylabel('Counts')\n",
    "\n",
    "fig.set_size_inches(10,4)\n",
    "fig.subplots_adjust(wspace=0.1)\n",
    "#plt.savefig('JASSS figures/SA - Output distribution.pdf', bbox_inches='tight')\n",
    "#plt.savefig('JASSS figures/SA - Output distribution.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bivariate scatter plots can be useful to visualize relationships between each input parameter and the outputs. Taking the outcome for the average sheep count as an example, we obtain the following, using the scipy library to calculate the Pearson correlation coefficient (r) for each parameter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: Qt5Agg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib\n",
    "import scipy\n",
    "\n",
    "nrow=2\n",
    "ncol=3\n",
    "fig, ax = plt.subplots(nrow, ncol, sharey=True)\n",
    "sns.set_context('talk')\n",
    "y = results['Avg. sheep']\n",
    "\n",
    "for i, a in enumerate(ax.flatten()):\n",
    "    x = param_values[:,i]\n",
    "    sns.regplot(x, y, ax=a, ci=None, color='k',scatter_kws={'alpha':0.2, 's':4, 'color':'gray'})\n",
    "    pearson = scipy.stats.pearsonr(x, y)\n",
    "    a.annotate(\"r: {:6.3f}\".format(pearson[0]), xy=(0.15, 0.85), xycoords='axes fraction',fontsize=13)\n",
    "    if divmod(i,ncol)[1]>0:\n",
    "        a.get_yaxis().set_visible(False)\n",
    "    a.set_xlabel(problem['names'][i])\n",
    "    a.set_ylim([0,1.1*np.max(y)])\n",
    "\n",
    "fig.set_size_inches(9,9,forward=True) \n",
    "fig.subplots_adjust(wspace=0.2, hspace=0.3)\n",
    "#plt.savefig('JASSS figures/SA - Scatter.pdf', bbox_inches='tight')\n",
    "#plt.savefig('JASSS figures/SA - Scatter.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This indicates a positive relationship between the \"sheep-gain-from-food\" parameter and the mean sheep count, and negative relationships for the \"wolf-gain-from-food\" and \"wolf-reproduce\" parameters.\n",
    "\n",
    "We can then use SALib to calculate first-order (S1), second-order (S2) and total (ST) Sobol indices, to estimate each input's contribution to output variance. By default, 95% confidence intervals are estimated for each index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "Si = sobol.analyze(problem, results['Avg. sheep'].values, calc_second_order=True, print_to_console=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a simple example, we first select and visualize the first-order and total indices for each input, converting the dictionary returned by SALib to a dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Si_filter = {k:Si[k] for k in ['ST','ST_conf','S1','S1_conf']}\n",
    "Si_df = pd.DataFrame(Si_filter, index=problem['names'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ST</th>\n",
       "      <th>ST_conf</th>\n",
       "      <th>S1</th>\n",
       "      <th>S1_conf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>random-seed</th>\n",
       "      <td>0.057656</td>\n",
       "      <td>0.008074</td>\n",
       "      <td>-0.001338</td>\n",
       "      <td>0.021732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grass-regrowth-time</th>\n",
       "      <td>0.099517</td>\n",
       "      <td>0.013023</td>\n",
       "      <td>0.044720</td>\n",
       "      <td>0.028337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheep-gain-from-food</th>\n",
       "      <td>0.564394</td>\n",
       "      <td>0.078497</td>\n",
       "      <td>0.389392</td>\n",
       "      <td>0.067774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wolf-gain-from-food</th>\n",
       "      <td>0.233807</td>\n",
       "      <td>0.034103</td>\n",
       "      <td>0.145914</td>\n",
       "      <td>0.042869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheep-reproduce</th>\n",
       "      <td>0.244354</td>\n",
       "      <td>0.040873</td>\n",
       "      <td>0.127663</td>\n",
       "      <td>0.051979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wolf-reproduce</th>\n",
       "      <td>0.232260</td>\n",
       "      <td>0.033511</td>\n",
       "      <td>0.122893</td>\n",
       "      <td>0.038364</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            ST   ST_conf        S1   S1_conf\n",
       "random-seed           0.057656  0.008074 -0.001338  0.021732\n",
       "grass-regrowth-time   0.099517  0.013023  0.044720  0.028337\n",
       "sheep-gain-from-food  0.564394  0.078497  0.389392  0.067774\n",
       "wolf-gain-from-food   0.233807  0.034103  0.145914  0.042869\n",
       "sheep-reproduce       0.244354  0.040873  0.127663  0.051979\n",
       "wolf-reproduce        0.232260  0.033511  0.122893  0.038364"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Si_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "fig, ax = plt.subplots(1)\n",
    "\n",
    "indices = Si_df[['S1','ST']]\n",
    "err = Si_df[['S1_conf','ST_conf']]\n",
    "\n",
    "indices.plot.bar(yerr=err.values.T,ax=ax)\n",
    "fig.set_size_inches(8,4)\n",
    "\n",
    "#plt.savefig('JASSS figures/SA - Indices.pdf', bbox_inches='tight')\n",
    "#plt.savefig('JASSS figures/SA - Indices.png', dpi=300, bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The \"sheep-gain-from-food\" parameter has the highest ST index, indicating that it contributes over 50% of output variance when accounting for interactions with other parameters. However, it can be noted that the confidence bounds are overly broad due to the small _n_ value used for sampling, so that a larger sample would be required for reliable results. For instance, the S1 index is estimated to be larger than ST for the \"random-seed\" parameter, which is an artifact of the small sample size.\n",
    "\n",
    "We can use a more sophisticated visualization to include the second-order interactions between inputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import itertools\n",
    "from math import pi\n",
    "\n",
    "\n",
    "def normalize(x, xmin, xmax):\n",
    "    return (x-xmin)/(xmax-xmin)\n",
    "\n",
    "\n",
    "def plot_circles(ax, locs, names, max_s, stats, smax, smin, fc, ec, lw, \n",
    "                 zorder):\n",
    "    s = np.asarray([stats[name] for name in names])\n",
    "    s = 0.01 + max_s * np.sqrt(normalize(s, smin, smax))\n",
    "    \n",
    "    fill = True\n",
    "    for loc, name, si in zip(locs, names, s):\n",
    "        if fc=='w':\n",
    "            fill=False\n",
    "        else:\n",
    "            ec='none'\n",
    "            \n",
    "        x = np.cos(loc)\n",
    "        y = np.sin(loc)\n",
    "        \n",
    "        circle = plt.Circle((x,y), radius=si, ec=ec, fc=fc, transform=ax.transData._b,\n",
    "                            zorder=zorder, lw=lw, fill=True)\n",
    "        ax.add_artist(circle)\n",
    "        \n",
    "\n",
    "def filter(sobol_indices, names, locs, criterion, threshold):\n",
    "    if criterion in ['ST', 'S1', 'S2']:\n",
    "        data = sobol_indices[criterion]\n",
    "        data = np.abs(data)\n",
    "        data = data.flatten() # flatten in case of S2\n",
    "        # TODO:: remove nans\n",
    "        \n",
    "        filtered = ([(name, locs[i]) for i, name in enumerate(names) if \n",
    "                     data[i]>threshold])\n",
    "        filtered_names, filtered_locs = zip(*filtered)\n",
    "    elif criterion in ['ST_conf', 'S1_conf', 'S2_conf']:\n",
    "        raise NotImplementedError\n",
    "    else:\n",
    "        raise ValueError('unknown value for criterion')\n",
    "\n",
    "    return filtered_names, filtered_locs\n",
    "\n",
    "\n",
    "def plot_sobol_indices(sobol_indices, criterion='ST', threshold=0.01):\n",
    "    '''plot sobol indices on a radial plot\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    sobol_indices : dict\n",
    "                    the return from SAlib\n",
    "    criterion : {'ST', 'S1', 'S2', 'ST_conf', 'S1_conf', 'S2_conf'}, optional\n",
    "    threshold : float\n",
    "                only visualize variables with criterion larger than cutoff\n",
    "             \n",
    "    '''\n",
    "    max_linewidth_s2 = 15#25*1.8\n",
    "    max_s_radius = 0.3\n",
    "    \n",
    "    # prepare data\n",
    "    # use the absolute values of all the indices\n",
    "    #sobol_indices = {key:np.abs(stats) for key, stats in sobol_indices.items()}\n",
    "    \n",
    "    # dataframe with ST and S1\n",
    "    sobol_stats = {key:sobol_indices[key] for key in ['ST', 'S1']}\n",
    "    sobol_stats = pd.DataFrame(sobol_stats, index=problem['names'])\n",
    "\n",
    "    smax = sobol_stats.max().max()\n",
    "    smin = sobol_stats.min().min()\n",
    "\n",
    "    # dataframe with s2\n",
    "    s2 = pd.DataFrame(sobol_indices['S2'], index=problem['names'], \n",
    "                      columns=problem['names'])\n",
    "    s2[s2<0.0]=0. #Set negative values to 0 (artifact from small sample sizes)\n",
    "    s2max = s2.max().max()\n",
    "    s2min = s2.min().min()\n",
    "\n",
    "    names = problem['names']\n",
    "    n = len(names)\n",
    "    ticklocs = np.linspace(0, 2*pi, n+1)\n",
    "    locs = ticklocs[0:-1]\n",
    "\n",
    "    filtered_names, filtered_locs = filter(sobol_indices, names, locs,\n",
    "                                           criterion, threshold)\n",
    "    \n",
    "    # setup figure\n",
    "    fig = plt.figure()\n",
    "    ax = fig.add_subplot(111, polar=True)\n",
    "    ax.grid(False)\n",
    "    ax.spines['polar'].set_visible(False)\n",
    "    ax.set_xticks(ticklocs)\n",
    "\n",
    "    ax.set_xticklabels(names)\n",
    "    ax.set_yticklabels([])\n",
    "    ax.set_ylim(top=1.4)\n",
    "    legend(ax)\n",
    "\n",
    "    # plot ST\n",
    "    plot_circles(ax, filtered_locs, filtered_names, max_s_radius, \n",
    "                 sobol_stats['ST'], smax, smin, 'w', 'k', 1, 9)\n",
    "\n",
    "    # plot S1\n",
    "    plot_circles(ax, filtered_locs, filtered_names, max_s_radius, \n",
    "                 sobol_stats['S1'], smax, smin, 'k', 'k', 1, 10)\n",
    "\n",
    "    # plot S2\n",
    "    for name1, name2 in itertools.combinations(zip(filtered_names, filtered_locs), 2):\n",
    "        name1, loc1 = name1\n",
    "        name2, loc2 = name2\n",
    "\n",
    "        weight = s2.loc[name1, name2]\n",
    "        lw = 0.5+max_linewidth_s2*normalize(weight, s2min, s2max)\n",
    "        ax.plot([loc1, loc2], [1,1], c='darkgray', lw=lw, zorder=1)\n",
    "\n",
    "    return fig\n",
    "\n",
    "\n",
    "from matplotlib.legend_handler import HandlerPatch\n",
    "class HandlerCircle(HandlerPatch):\n",
    "    def create_artists(self, legend, orig_handle,\n",
    "                       xdescent, ydescent, width, height, fontsize, trans):\n",
    "        center = 0.5 * width - 0.5 * xdescent, 0.5 * height - 0.5 * ydescent\n",
    "        p = plt.Circle(xy=center, radius=orig_handle.radius)\n",
    "        self.update_prop(p, orig_handle, legend)\n",
    "        p.set_transform(trans)\n",
    "        return [p]\n",
    "\n",
    "def legend(ax):\n",
    "    some_identifiers = [plt.Circle((0,0), radius=5, color='k', fill=False, lw=1),\n",
    "                        plt.Circle((0,0), radius=5, color='k', fill=True),\n",
    "                        plt.Line2D([0,0.5], [0,0.5], lw=8, color='darkgray')]\n",
    "    ax.legend(some_identifiers, ['ST', 'S1', 'S2'],\n",
    "              loc=(1,0.75), borderaxespad=0.1, mode='expand',\n",
    "              handler_map={plt.Circle: HandlerCircle()})\n",
    "\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "fig = plot_sobol_indices(Si, criterion='ST', threshold=0.005)\n",
    "fig.set_size_inches(7,7)\n",
    "#plt.savefig('JASSS figures/Figure 8 - Interactions.pdf', bbox_inches='tight')\n",
    "#plt.savefig('JASSS figures/Figure 8 - Interactions.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, the sheep-gain-from-food variable has strong interactions with the wolf-gain-from-food and sheep-reproduce inputs in particular. The size of the ST and S1 circles correspond to the normalized variable importances."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, the kill_workspace() function shuts down the NetLogo instance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "netlogo.kill_workspace()"
   ]
  }
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